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Reconciliation of the GTAP and Household Survey Data

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  • Ivanic, Maros

Abstract

This paper presents a method that was employed in order to make the available fourteen household income survey data sets compatible with the data in the GTAP version 5 database. The first step of the method was the imputation of the unobservable returns to GTAP factors from the reported data. The second step was the reconciliation of the two data sets so that their joint totals would be identical. The paper does not claim to be the final word on either data imputation or reconciliation; instead it works through the various issues encountered in the process, proposes solutions to them and leaves it to the reader to judge the validity of this methodology.

Suggested Citation

  • Ivanic, Maros, 2004. "Reconciliation of the GTAP and Household Survey Data," GTAP Research Memoranda 1408, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
  • Handle: RePEc:gta:resmem:1408
    Note: GTAP Research Memorandum No. 05
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    File URL: https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=1408
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    Cited by:

    1. Sulamaa, Pekka & Widgrén, Mika, 2005. "Asian Regionalism versus Global Free Trade: A Simulation Study on Economic Effects," Discussion Papers 985, The Research Institute of the Finnish Economy.
    2. Ferri, Javier & Moltó, María Luisa & Uriel, Ezequiel, 2005. "Time Use, Computable General Equilibrium and Tax Policy Analysis," Conference papers 331322, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Arief Anshory Yusuf, 2006. "Constructing Indonesian Social Accounting Matrix for Distributional Analysis in the CGE Modelling Framework," Working Papers in Economics and Development Studies (WoPEDS) 200604, Department of Economics, Padjadjaran University, revised Nov 2006.
    4. Tarr, David G., 2013. "Putting Services and Foreign Direct Investment with Endogenous Productivity Effects in Computable General Equilibrium Models," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 303-377, Elsevier.
    5. Katharina van Treeck, 2020. "Measuring the Labor Income Share of Developing Countries: Lessons From Social Accounting Matrices," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 584-612, September.
    6. Wang, Haiyan & Matthews, Alan, 2008. "Labour market distortions and the impacts of further trade liberalisation in China," Conference papers 331709, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. Olivier Durand-Lasserve & Lorenza Campagnolo & Jean Chateau & Rob Dellink, 2015. "Modelling of distributional impacts of energy subsidy reforms: an illustration with Indonesia," OECD Environment Working Papers 86, OECD Publishing.
    8. Valenzuela, Ernesto & Hertel, Thomas W. & Ivanic, Maros & Nin Pratt, Alejandro, 2004. "Evaluating Poverty Impacts of Globalization and Trade Policy Changes on Agricultural Producers," 2004 Annual meeting, August 1-4, Denver, CO 20242, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Katharina Trapp, 2015. "Measuring the labour income share of developing countries: Learning from social accounting matrices," WIDER Working Paper Series 041, World Institute for Development Economic Research (UNU-WIDER).
    10. Monika Verma & Thomas W. Hertel & Ernesto Valenzuela, 2011. "Are The Poverty Effects of Trade Policies Invisible?," The World Bank Economic Review, World Bank, vol. 25(2), pages 190-211, May.
    11. Ole Boysen and Alan Matthews, 2008. "Poverty Impacts of an Economic Partnership Agreement between Uganda and the EU," The Institute for International Integration Studies Discussion Paper Series iiisdp261, IIIS.
    12. Katharina Trapp, 2015. "Measuring the Labour Income Share of Developing Countries: Learning from Social Accounting Matrices," WIDER Working Paper Series wp-2015-041, World Institute for Development Economic Research (UNU-WIDER).
    13. Valenzuela, Ernesto & Hertel, Thomas W., 2006. "Poverty Vulnerability and Trade Policy: Are the Likely Impacts Discernable?," 2006 Annual meeting, July 23-26, Long Beach, CA 21397, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Thomas F. Rutherford & David G. Tarr, 2014. "Poverty effects of Russia's WTO accession: Modeling “real” households with endogenous productivity effects," World Scientific Book Chapters, in: APPLIED TRADE POLICY MODELING IN 16 COUNTRIES Insights and Impacts from World Bank CGE Based Projects, chapter 12, pages 287-306, World Scientific Publishing Co. Pte. Ltd..
    15. Thomas W. Hertel & Jeffrey J. Reimer, 2006. "Predicting the Poverty Impacts of Trade Reform," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 2, May.

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